# This file is part of Hypothesis, which may be found at
# https://github.com/HypothesisWorks/hypothesis/
#
# Copyright the Hypothesis Authors.
# Individual contributors are listed in AUTHORS.rst and the git log.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.

import sys
from copy import copy
from types import SimpleNamespace
from typing import Tuple

import pytest

from hypothesis import given, strategies as st
from hypothesis.errors import HypothesisWarning, InvalidArgument
from hypothesis.extra.array_api import (
    COMPLEX_NAMES,
    DTYPE_NAMES,
    FLOAT_NAMES,
    INT_NAMES,
    UINT_NAMES,
    make_strategies_namespace,
    mock_xp,
)

MOCK_WARN_MSG = f"determine.*{mock_xp.__name__}.*Array API"


def make_mock_xp(*, exclude: Tuple[str, ...] = ()) -> SimpleNamespace:
    xp = copy(mock_xp)
    assert isinstance(exclude, tuple)  # sanity check
    for attr in exclude:
        delattr(xp, attr)
    return xp


def test_warning_on_noncompliant_xp():
    """Using non-compliant array modules raises helpful warning"""
    xp = make_mock_xp()
    with pytest.warns(HypothesisWarning, match=MOCK_WARN_MSG):
        make_strategies_namespace(xp, api_version="draft")


@pytest.mark.filterwarnings(f"ignore:.*{MOCK_WARN_MSG}.*")
@pytest.mark.parametrize(
    "stratname, args, attr",
    [("from_dtype", ["int8"], "iinfo"), ("arrays", ["int8", 5], "full")],
)
def test_error_on_missing_attr(stratname, args, attr):
    """Strategies raise helpful error when using array modules that lack
    required attributes."""
    xp = make_mock_xp(exclude=(attr,))
    xps = make_strategies_namespace(xp, api_version="draft")
    func = getattr(xps, stratname)
    with pytest.raises(InvalidArgument, match=f"{mock_xp.__name__}.*required.*{attr}"):
        func(*args).example()


dtypeless_xp = make_mock_xp(exclude=tuple(DTYPE_NAMES))
with pytest.warns(HypothesisWarning):
    dtypeless_xps = make_strategies_namespace(dtypeless_xp, api_version="draft")


@pytest.mark.parametrize(
    "stratname",
    [
        "scalar_dtypes",
        "boolean_dtypes",
        "numeric_dtypes",
        "integer_dtypes",
        "unsigned_integer_dtypes",
        "floating_dtypes",
        "real_dtypes",
        "complex_dtypes",
    ],
)
def test_error_on_missing_dtypes(stratname):
    """Strategies raise helpful error when using array modules that lack
    required dtypes."""
    func = getattr(dtypeless_xps, stratname)
    with pytest.raises(InvalidArgument, match=f"{mock_xp.__name__}.*dtype.*namespace"):
        func().example()


@pytest.mark.filterwarnings(f"ignore:.*{MOCK_WARN_MSG}.*")
@pytest.mark.parametrize(
    "stratname, keep_anys",
    [
        ("scalar_dtypes", [INT_NAMES, UINT_NAMES, FLOAT_NAMES]),
        ("numeric_dtypes", [INT_NAMES, UINT_NAMES, FLOAT_NAMES, COMPLEX_NAMES]),
        ("integer_dtypes", [INT_NAMES]),
        ("unsigned_integer_dtypes", [UINT_NAMES]),
        ("floating_dtypes", [FLOAT_NAMES]),
        ("real_dtypes", [INT_NAMES, UINT_NAMES, FLOAT_NAMES]),
        ("complex_dtypes", [COMPLEX_NAMES]),
    ],
)
@given(st.data())
def test_warning_on_partial_dtypes(stratname, keep_anys, data):
    """Strategies using array modules with at least one of a dtype in the
    necessary category/categories execute with a warning."""
    exclude = []
    for keep_any in keep_anys:
        exclude.extend(
            data.draw(
                st.lists(
                    st.sampled_from(keep_any),
                    min_size=1,
                    max_size=len(keep_any) - 1,
                    unique=True,
                )
            )
        )
    xp = make_mock_xp(exclude=tuple(exclude))
    xps = make_strategies_namespace(xp, api_version="draft")
    func = getattr(xps, stratname)
    with pytest.warns(HypothesisWarning, match=f"{mock_xp.__name__}.*dtype.*namespace"):
        data.draw(func())


def test_raises_on_inferring_with_no_dunder_version():
    """When xp has no __array_api_version__, inferring api_version raises
    helpful error."""
    xp = make_mock_xp(exclude=("__array_api_version__",))
    with pytest.raises(InvalidArgument, match="has no attribute"):
        make_strategies_namespace(xp)


def test_raises_on_invalid_dunder_version():
    """When xp has invalid __array_api_version__, inferring api_version raises
    helpful error."""
    xp = make_mock_xp()
    xp.__array_api_version__ = None
    with pytest.raises(InvalidArgument):
        make_strategies_namespace(xp)


@pytest.mark.filterwarnings(f"ignore:.*{MOCK_WARN_MSG}.*")
def test_patch_torch_full(monkeypatch):
    """When xp is torch, full() is patched so xps.arrays() can work.

    See https://github.com/HypothesisWorks/hypothesis/pull/3542
    """
    xp = make_mock_xp()
    old_full = copy(xp.full)

    def bad_full(shape, *a, **kw):
        bad_full.__counter += 1
        if isinstance(shape, int):
            raise AttributeError("xp.full() has not been patched correctly")
        return old_full(shape, *a, **kw)

    bad_full.__counter = 0
    xp.full = bad_full
    with monkeypatch.context() as m:
        m.setitem(sys.modules, "torch", xp)
        xps = make_strategies_namespace(xp)
        xps.arrays(xp.int8, 5).example()
        assert bad_full.__counter > 0  # sanity check